Image Classification on ImageNet 1k (val) (Accuracy & Inference Efficiency) benchmark leaderboard · SOTA2 Research

Image Classification on ImageNet 1k (val) (Accuracy & Inference Efficiency)

154FLOPs (M)HALP

Evaluation Results

Method	Links
HALP2022.10		154	67.2	87.32	8,293	2.43
HALP2022.10		171	68.3	88.08	7,940	2.32
HALP2022.10		183	70.42	89.75	5,668	1.84
HALP2022.10		218	71.41	90.08	5,003	1.62
HALP2022.10		227	71.88	90.39	4,478	1.45
HALP2022.10		237	69.79	89.08	6,887	2.02
HALP2022.10		249	72.16	90.44	4,109	1.33
HALP2022.10		273	72.45	90.68	3,443	1.12
HALP2022.10		281	72.55	90.79	3,265	1.06
HALP2022.10		297	71.31	90.05	5,754	1.68
No pruning2022.10		301	72.1	90.6	3,080	1
HALP2022.10		360	71.78	90.39	4,870	1.43
HALP2022.10		416	72.52	90.78	4,167	1.22
HALP2022.10		507	72.95	91.02	3,765	1.1
No pruning2022.10		569	72.64	90.88	3,415	1